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In this tutorial you will learn everything you need to fine tune (train) your GPT-2 Model. By training the model on specific texts you can improve the results quality by a large margin. Fine Tuning your GPT-2 Model is quite easy and can be done in a few simple steps.
First you need to download the repository from Github. After that you need to create a training.txt file including the data on which your model should be trained on. The next step is to convert the file into an npz format from which you can then train the model. After the GPT-2 model has been trained you can then copy the files into your final model and just run the sample code.
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This demo shows how to run large AI models from #huggingface on a Single GPU without Out of Memory error. Take a OPT-175B or BLOOM-176B parameter model .These are large language models and often require very high processing machine or multi-GPU, but thanks to bitsandbytes, in just a few tweaks to your code, you can run these large models on single node.
In this tutorial, we'll see 3 Billion parameter BLOOM AI model (loaded from Hugging Face) and #LLM inference on Google Colab (Tesla T4) without OOM.
This is brilliant! Kudos to the team.
bitsandbytes - https://github.com/TimDettmers/bitsandbytes
Google Colab Notebook - https://colab.research.google.....com/drive/1qOjXfQIAU
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#SQLCourse #SQLCourseForBeginners #SQLTutorial #Intellipaat
This SQL Course covers all the important skill sets required to become an SQL Engineer!
In this SQL Course, we will cover Introduction to SQL, the Difference Between SQL and NoSQL, RDBMS vs DBMS, ER Diagram, What is Database, and Data Types. Then we will get into Memory Allocation, SQL Commands, basic commands of SQL, Operators in SQL, Sorting in SQL, and Subquery in SQL. Later, we will also dive into Functions in SQL, Conditional Statements, Constraints in SQL Server, Indexing in SQL, Keys Concept, Merge Statement, SQL Joins, Union and Intersect, and Pivot and Unpivot. Then we will conclude this SQL Tutorial For Beginners with Interview Questions.
🔵 Following topics are covered in this SQL Course
00:00:00 - Introduction to SQL Course
00:02:40 - Introduction to SQL
00:29:02 - Difference Between SQL and NoSQL
00:41:07 - RDBMS vs DBMS
00:45:41 - ER Diagram
01:31:44 - What is a Database
01:36:51 - Data Types
02:05:13 - Memory Allocation
02:36:25 - SQL Commands
03:41:41 - Operators in SQL
04:09:05 - Sorting in SQL
04:22:09 - Functions in SQL
04:40:39 - Constraints in SQL Server
05:01:20 - Indexing in SQL
05:27:43 - Keys Concept
05:59:40 - SQL Joins
07:05:10 - Union and Intersect
07:30:58 - Pivot and Unpivot
08:20:47 - SQL Interview Questions
✅How long will it take to learn SQL?
On its own, SQL isn't hard to learn. You can learn SQL in as little as two to three weeks. However, it can take months of practice before you feel comfortable using it. Determining how long it takes to learn SQL depends on how you plan to use it.
✅What is SQL full course?
SQL is a standard language for storing, manipulating, and retrieving database data. Our SQL tutorial will teach you how to use SQL in MySQL, SQL Server, MS Access, Oracle, Sybase, Informix, Postgres, and other database systems. Start learning SQL now
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✅Data Science Capstone Project
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Machine Learning Full Course 2025 | Machine Learning Tutorial | Machine Learning Course |Simplilearn
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This video on Machine Learning Full Course video by Simplilearn, will help begin with the basics of Artificial intelligence and machine learning. This Machine Learning Full Course begins with an Introduction to Machine Learning, that helps you with a complete guide to mastering machine learning concepts and applications. It begins with an explanation of what machine learning is and offers insights into how to learn AI and ML effectively. The course includes a deep learning tutorial for beginners and introduces the best AI coding tools to boost productivity. Practical guidance on how to get a job in AI and the basics of machine learning sets the foundation for career advancement. Advanced topics like Q-learning, reinforcement learning, and LSTM (Long Short-Term Memory) are also explored. You’ll delve into linear algebra for machine learning, LLM benchmarking, and learn how to run Llama privately. Additional highlights include a stable diffusion tutorial, exploratory data analysis using Python, and tools like Meta’s new Llama 3.2. The course concludes with an in-depth look at the confusion matrix in ML, equipping you with both theoretical and practical knowledge for machine learning projects.
Following are the topics covered in this Machine Learning Full Course:
00:00:00 Introduction to Machine Learning Full Course
00:56:31 What is Machine Learning
00:58:05 How To Learn Artificial Intelligence and Machine Learning
01:12:13 Deep Learning Tutorial For Beginners
01:24:17 Best AI Coding tools
01:31:16 How to get a job in AI
04:28:15 Machine Learning Basics
04:29:05 What is Q Learning
05:19:32 Linear Algebra for Machine Learning
05:28:25 LLM Benchmarking
05:37:37 Run Lllama Privately
05:48:12 Stable diffusion tutorial
06:22:15 Exploratory Data Analysis Using Python
10:33:36 Reinforcement Learning
10:41:54 Meta New Lama 3.2
11:00:05 Confusion Matrix ML
11:06:17 What is LSTM
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➡️ About Caltech Post Graduate Program In AI And Machine Learning
Designed to boost your career as an AI and ML professional, this program showcases Caltech CTME's excellence and IBM's industry prowess. The artificial intelligence course covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.
Key Features
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✅ Earn up to 22 CEUs from Caltech CTME
✅ Online convocation by Caltech CTME Program Director
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✅ Access to hackathons and Ask Me Anything sessions from IBM
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✅ Seamless access to integrated labs
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Skills Covered
✅ Statistics
✅ Python
✅ Supervised Learning
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✅ Recommendation Systems
✅ NLP
✅ Neural Networks
✅ GANs
✅ Deep Learning
✅ Reinforcement Learning
✅ Speech Recognition
✅ Ensemble Learning
✅ Computer Vision
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Anthropic’s Barry Zhang (Applied AI), Erik Schluntz (Research), and Alex Albert (Claude Relations) discuss the potential of AI agents, common pitfalls to avoid, and how to prepare for the evolving landscape.
Read more advice on building agents: https://www.anthropic.com/rese....arch/building-effect
00:00 Introduction
00:26 Defining AI agents and workflows
02:55 Anatomy of an agent prompt
04:29 Behind the scenes stories
07:29 Why write about agents now
08:53 Overhyped and underhyped aspects of agents
09:57 Identifying useful applications of agents
10:47 Coding agents: Potential and challenges
12:47 The future of agents in 2025
16:26 Advice for developers exploring agents
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Want to build AI agents but think you need to code? Wrong. In this video, I show you exactly how to create production-ready AI agents from scratch using three platforms: OpenAI Agent Builder, Botpress, and Zapier AI Agents.
You'll see the full workflow—from blank canvas to live agent—including:
✅ Knowledge base setup with RAG
✅ Real-time testing and deployment
✅ Multi-channel publishing (WhatsApp, Slack, web chat)
✅ Lead collection workflows
✅ Cost comparison and scaling strategies
🎯 WHAT YOU'LL LEARN:
• How to use ChatGPT to write agent prompts for you
• Setting up FAQ bots, customer support agents, and lead collectors
• Connecting knowledge bases (PDFs, websites, Notion)
• Deploying agents across WhatsApp, websites, and messaging platforms
• Why most platforms mark up LLM costs 30-50% (and how to avoid it)
• Which platform fits your use case: internal tools vs customer-facing agents
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→ OpenAI Agent Builder: Fast setup, internal tools, shareable links
→ Zapier AI Agents: Automation workflows, trigger-based actions
→ Botpress: Production-grade agents, 190+ integrations, no LLM markup
📂 TIMESTAMPS:
0:00 — Build AI Agents Without Coding
1:09 — How to Build an AI Agent with OpenAI
3:49 — How to Build an AI Agent with Botpress
6:26 — Knowledge Base & RAG System
8:00 — Choosing Your LLM Model
8:41 — Testing & Deployment
9:11 — How to Build an AI Agent with Zapier
12:32 — Lead Collection Workflows in Botpress
15:32 — Deployment Across Channels
17:21 — Why Botpress for Production
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The hardest part isn't building—it's starting. Pick one platform, sign up, and build your first agent this week. Start with a simple FAQ bot or lead collector, test it, deploy it, and scale from there.
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Imagine a world where AI isn't just science fiction but a powerful partner in your business success. This video on AI for Business dives into the exciting world of AI for business, showcasing its revolutionary impact across industries. Witness real-world examples of AI driving innovation in marketing, finance, and manufacturing data analysis on steroids. Imagine the massive benefits of AI for business, predict customer behavior, and make smarter decisions. Get a sneak peek into the future of manufacturing with smart factories (Industry 4.0) and the rise of human-AI collaboration (Industry 5.0). We'll dive into how AI is changing industries like marketing, finance, and supply chain. AI isn't magic, it's the future of business.
00:00:00 Introduction
00:02:11 AI for Business
00:07:38 What Is Artificial Intelligence?
00:14:19 Types Of Artificial Intelligence
00:24:33 AI vs Machine Learning vs Deep Learning
00:38:17 What is Deep Learning
00:49:30 What is LLM (Large Language Model)
01:06:00 What Is Generative AI?
01:21:18 What Is AI Ethics
01:29:55 What is Responsible AI
01:38:09 Artificial Intelligence with Python
03:17:04 Artificial Neural Network
03:48:53 Recurrent Neural Networks
04:17:44 Convolutional Neural Network
04:38:19 Introduction to TensorFlow
05:01:57 Prompt Engineering
05:21:21 Prompt Engineering For Code Generation
05:30:40 Building a Chatbot with Prompt Engineering
05:46:44 OpenAI o3-mini Model
05:53:55 What is Agentic AI?
06:04:59 Introduction to Midjourney
06:23:31 How to use Midjourney?
06:31:15 GitHub Copilot
06:48:34 What is Vibe Coding
06:57:44 Top 5 AI Frameworks in 2025
07:12:29 How AI Is Transforming Studio Ghibli-Style Animation?
07:17:56 AI in Web Development
07:43:07 AI in Healthcare
07:51:49 AI in Retail
07:57:57 AI in Automotive
08:07:52 AI for Marketing
08:20:28 AI in Finance
08:29:04 AI for HR
08:35:25 AI in Manufacturing
08:41:53 AI in Cybersecurity
08:51:41 AI for Startup
09:00:15 AI for Testing
09:05:40 AI for Ethical Hacking
09:10:34 AI on Microsoft Azure
09:23:00 AI and Industry 4.0
09:28:01 AI Engineer Learning Path
09:35:13 Top 15 AI Skills You Need to Know
09:43:33 Build AI Applicant Tracking System (ATS)
09:59:07 Artificial Intelligence Interview Questions & Answers
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📝Feel free to share your comments below.📝
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High Quality HDR 8K VIDEO ULTRA HD 120FPS, 60FPS, 30FPS For Your HDR 8K resolution devices. Amazing combination of 12k sensor and one of the sharpest lenses in the world Zeiss Otus set in addition of HDR brings image to life! You can use this collection of Hight Resolution clips in your Tv For The Living Room, Office, Lounge, Waiting Room, Spa, Showroom, Restaurant and more. Play It On Your LG Qled TV, Samsung Oled TV, Smart TV, Sony Device, Samsung Technology, Roku, Apple TV, IPad Pro, Apple XDR, Chromecast, Xbox, Playstation and more.
⭐ Note: To view at 8K 60P you will need to use Chrome & opera.
⭐ All Videos was shot, edited & color graded by me.
THESE 8K VIDEOS ARE FOR TV'S FOR DEMO AND TEST THE QUALITY OF ALL 8K TV'S.
⭐ I have done High color correction, Color changing, Raw Videos editing, HDR color Setting, merge files & 8K Export file etc.
Editing Video by
PREETI NAAGAR
This video created for entertainment informative, educational purposes and Film & Animation.
Editing Software
Adobe premiere pro
ALL CREDIT GOES TO YOUTUBE
Copyright
⭐ All The footage Was Edited And Color Corrected By Me.
⭐ Video Footage Copyright Under License.
All other rights reserved.
#12khdr #dolbyvision #60fps
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This video on the "Artificial Intelligence full course" video cover all the topics you need to know to become a master in AI and ML. It covers all the basics of Machine Learning, the different types of Machine Learning, and the various applications of Machine Learning used in different industries. This video will also help us understand the basics of artificial intelligence. We will look at the future of AI and listen to some of the industry experts and learn what they have to say about AI. Finally, you will learn the Top 10 Artificial Intelligence Technologies In 2022.
✅Subscribe to our Channel to learn more about the top Technologies: https://www.youtube.com/user/Simplilearn
⏩ Check out the Artificial Intelligence tutorial videos: https://www.youtube.com/watch?v=ad79nYk2keg&list=PLEiEAq2VkUULyr_ftxpHB6DumOq1Zz2hq
#ArtificialIntelligenceFullCourse #AIFullCourse #AIAndMLFullCourse #MachineLearning #AIAndMachineLearning #ArtificialIntelligenceFullCourse #MachineLearningFullCourse #MachineLearningTutorial #AITutorial #AIAndML #Simplilearn
What is Artificial Intelligence?
Artificial Intelligence is a method of making a computer, a computer-controlled robot, or software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems.
➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
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✅ Skills Covered
- ChatGPT
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🔵 Cloud Computing - https://www.simplilearn.com/professional-certificate-program-cloud-computing-devops?utm_campaign=LoopLives&utm_medium=Description&utm_source=youtube
This SAS Tutorial is specially designed for beginners, it starts with Why Data Analytics is needed, goes on to explain the various tools in Data Analytics, and why SAS is used among them, towards the end we will see how we can install SAS software and a short demo on the same!
In this SAS Tutorial video you will understand:
1) Why Data Analytics?
2) What is Data Analytics?
3) Data Science Analytics Tools
4) Why SAS?
5) What is SAS?
6) What SAS Solves?
7) Components of SAS
8) How can we practice Base SAS?
9) Demo
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Check our complete SAS Training playlist here: https://goo.gl/MMLyuN
#SASTraining #SASTutorial #SASCertification
How it Works?
1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. You will get Lifetime Access to the recordings in the LMS.
4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!
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About the Course
The SAS training course is designed to provide knowledge and skills to become a successful Analytics professional. It starts with the fundamental concepts of rules of SAS as a Language to an introduction to advanced SAS topics like SAS Macros.
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Why Learn SAS?
The Edureka SAS training certifies you as an ‘in demand’ SAS professional, to help you grab top paying analytics job titles with hands-on skills and expertise around data mining and management concepts.
SAS is the primary analytics tool used by some of the largest KPOs, Banks like American Express, Barclays etc., financial services irms like GE Money, KPOs like Genpact, TCS etc., telecom companies like Verizon (USA), consulting companies like Accenture, KPMG etc use the tool effectively.
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Who should go for this course?
This course is designed for professionals who want to learn widely acceptable data mining and exploration tools and techniques, and wish to build a booming career around analytics. The course is ideal for:
1. Analytics professionals who are keen to migrate to advanced analytics
2. BI /ETL/DW professionals who want to start exploring data to eventually become data scientist
3. Project Managers to help build hands-on SAS knowledge, and to become a SME via analytics
4. Testing professionals to move towards creative aspects of data analytics
5. Mainframe professionals
6. Software developers and architects
7. Graduates aiming to build a career in Big Data as a foundational step
Please write back to us at [email protected] or call us at +918880862004 or 18002759730 for more information.
Website: https://www.edureka.co/sas-training
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Customer Reviews:
Sidharta Mitra, IBM MDM COE Head @ CTS , says, "Edureka has been an unique and fulfilling experience. The course contents are up-to-date and the instructors are industry trained and extremely hard working. The support is always willing to help you out in various ways as promptly as possible. Edureka redefines the way online training is conducted by making it as futuristic as possible, with utmost care and minute detailing, packaged into the a unique virtual classrooms. Thank you Edureka!"
Humanity's LAST Invention - Artificial General Intelligence (AGI)
Artificial General Intelligence has the whole world divided over it. While some are in support of the smart software technology having human cognition abilities, others fear that the outcome it might have on our world may be bad for the world. Will AGI become an essential invention for a better future or the final nail in the coffin of the world? Let’s find out in today’s video.
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The AI Revolution,artificial general intelligence,agi,ai,technology news,singularity,The UNSTOPPABLE Rise of Artificial GENERAL Intelligence (AGI),rise of agi,ai risk,the singularity,what is agi?
This is a video about some of the many times we have nearly blown up the world. Head over to
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References:
List of Broken Arrows -- https://ve42.co/AtomicArchive https://ve42.co/BrokenArrowsReport
Declassified Goldsboro Report -- https://ve42.co/Goldsboro
Operation ChromeDome -- https://ve42.co/OperationChromeDome
CIA website -- https://ve42.co/CIA
Cataclysmic cargo: The hunt for four missing nuclear bombs after a B-52 crash -- https://ve42.co/WoPo
THE LAST FLIGHT OF HOBO 28 -- https://ve42.co/lastflight
The Voice of Larry Messinger is from this documentary -- https://ve42.co/Messinger
Even Without Detonation, 4 Hydrogen Bombs From ’66 Scar Spanish Village -- https://ve42.co/NYTPalomares
Decades Later, Sickness Among Airmen After a Hydrogen Bomb Accident -- https://ve42.co/NYTPalomares2
Picture of ReVelle -- https://ve42.co/JackReVelle1
Great NPR where the audio of ReVelle is from -- https://ve42.co/JackReVelle2
CIA Website -- https://ve42.co/CIA
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Special thanks to our Patreon supporters:
Anton Ragin, Balkrishna Heroor, Bernard McGee, Bill Linder, Burt Humburg, Dave Kircher, Diffbot, Evgeny Skvortsov, Gnare, Jesse Brandsoy, John H. Austin, Jr., john kiehl, Josh Hibschman, Juan Benet, KeyWestr, Lee Redden, Marinus Kuivenhoven, Mario Bottion, MaxPal, Meekay, meg noah, Michael Krugman, Orlando Bassotto, Paul Peijzel, Richard Sundvall, Sam Lutfi, Stephen Wilcox, Tj Steyn, TTST, Ubiquity Ventures
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Directed by Petr Lebedev
Written by Petr Lebedev and Derek Muller
Edited by Peter Nelson
Animated by Fabio Albertelli, Jakub Misiek, Ivy Tello and Mike Radjabov
Filmed by Derek Muller
Produced by Petr Lebedev and Derek Muller
Additional video/photos supplied by Getty Images and Pond5
Music from Epidemic Sound
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🔥Edureka AWS Training: https://www.edureka.co/aws-certification-training
This Edureka video on "Deploy an ML Model using Amazon Sagemaker" discusses what is Amazon Sagemaker and how you can build, train and deploy your Machine Learning Models in Amazon Sagemaker. These are the topics covered in the AWS Machine Learning Tutorial video:
00:00:00 Introduction
00:01:14 What is Amazon Sagemaker?
00:04:21 Create your AWS Account
00:06:46 Create your First Notebook Instance
00:17:39 Train your Model on AWS
00:24:37 Deploy your Model on AWS
00:26:33 Evaluate your Model on AWS
00:29:03 AWS SageMaker Case Study: Grammarly
🔹Check Edureka's complete DevOps playlist here: http://goo.gl/O2vo13
🔹Check Edureka's Blog playlist here: https://bit.ly/3gfNuZr
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#Edureka #DeployAnMlModelUsingAmazonSagemaker #AWSTutorial #AWSCertification #AWSTraining #AWSMachineLearning #AWSMLDeployment #MachineLearningOnCloud #CloudComputing #AWS
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How it Works?
1. This is a 5 Week Instructor led Online Course.
2. Course consists of 30 hours of online classes, 30 hours of assignment, 20 hours of project
3. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
4. You will get Lifetime Access to the recordings in the LMS.
5. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!
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About the Course
AWS Architect Certification Training from Edureka is designed to provide in depth knowledge about Amazon AWS architectural principles and its components. The sessions will be conducted by Industry practitioners who will train you to leverage AWS services to make the AWS cloud infrastructure scalable, reliable, and highly available. This course is completely aligned to AWS Architect Certification - Associate Level exam conducted by Amazon Web Services.
During this AWS Architect Online training, you'll learn:
1. AWS Architecture and different models of Cloud Computing
2. Compute Services: Amazon EC2, Auto Scaling and Load Balancing, AWS Lambda, Elastic Beanstalk
3. Amazon Storage Services : EBS, S3 AWS, Glacier, CloudFront, Snowball, Storage Gateway
4. Database Services: RDS, DynamoDB, ElastiCache, RedShift
5. Security and Identity Services: IAM, KMS
6. Networking Services: Amazon VPC, Route 53, Direct Connect
7. Management Tools: CloudTrail, CloudWatch, CloudFormation, OpsWorks, Trusty Advisor
8. Application Services: SES, SNS, SQS
Course Objectives
On completion of the AWS Architect Certification training, learner will be able to:
1. Design and deploy scalable, highly available, and fault tolerant systems on AWS
2. Understand lift and shift of an existing on-premises application to AWS
3. Ingress and egress of data to and from AWS
4. Identifying appropriate use of AWS architectural best practices
5. Estimating AWS costs and identifying cost control mechanisms
Pre-requisites
There are no specific prerequisites for this course. Any professional who has an understanding of IT Service Management can join this training. There is no programming knowledge needed and no prior AWS experience required.
If you are looking for live online training, write back to us at [email protected] or call us at US: + 18338555775 (Toll-Free) or India: +91 9606058406 for more information.
🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/big-data-and-analytics/senior-data-scientist-masters-program-training?utm_campaign=rzTYvi6hQzg&utm_medium=Live&utm_source=Youtube
🔥IITK - Professional Certificate Course in Data Science (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-data-science?utm_campaign=rzTYvi6hQzg&utm_medium=Live&utm_source=Youtube
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This Data Science Full Course Video by Simplilearn helps you learn a brief introduction to data science. followed by that, we will continue by discussing the scope of AI in future, then we will learn the roadmap to become a data scientist, followed by that, we will learn the AI BIAS topic, proceeding ahead we will learn the differences between AI, ML, and DL (Artificial intelligence vs machine learning vs deep learning), next we will have a brief introduction to deep learning and applied data science with python. Then we will learn how to Run Lama Privately. Afterwards, we will procced with an Introduction to LLm and LLM benchmarking, we will proceed with LangChain. Lastly we will discuss Confusion matrix, Machine learning projects for beginners and at the end we will discuss important interview questions. The video covers the following topics.
00:00:00 Introduction to Data Science Full Course
00:04:21 Data Science in 5 minutes
00:13:27 Future of AI
00:14:59 How to become Data Scientist
00:29:52 AI Bias
00:36:03 Difference between AI ML and DL
00:45:39 Roadmap to Data Science
00:54:56 Fastest way to Learn Data Science
06:48:37 Deep Learning
10:05:37 Applied Data Science with Python
10:06:44 Run Lama Privately
10:15:28 Introduction to LLM
10:28:57 LLM Benchmarking
10:30:16 Lang Chain Explained
10:57:44 Confusion Matrix ML
11:15:29 ML Projects for Beginners
12:22:26 Interview Questions
✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
⏩ Check out the Data Science tutorial videos: https://www.youtube.com/watch?v=X3paOmcrTjQ&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6
#datascience #datasciencecourse #datascienceroadmap #datascientist #datascienceforbeginners #datasciencetools #simplilearn #2024
What is Data Science?
Data science is the field of study that works with massive amounts of data utilizing relevant tools and techniques to derive valuable data. Companies across various industries generate vast amounts of data, so its applications range all the way from education, healthcare, and entertainment to Finance and Marketing.
✅ About Post Graduate Program In Data Science:
This in-depth Data Science program is designed for working professionals, and covers job-critical topics like R, Python programming, Machine Learning techniques, NLP notions, and Data Visualization with Tableau, using an active learning model that includes live sessions from global professionals, practical labs, IBM Hackathons, and corporate ready projects
Key Features
✅ Program completion certificate from Purdue University Online and Simplilearn
✅ Access to Purdue’s alumni association membership on program completion
✅ Core curriculum delivered in live online classes by industry experts
✅ Industry-recognized IBM certificates for IBM courses
✅ Engage in live online masterclasses led by Purdue faculty, staff, and IBM experts
✅ Exclusive hackathons and Ask Me Anything (AMA) sessions by IBM
✅ Gain exposure to ChatGPT, Gemini, Keras, TensorFlow and other prominent tools
✅ Interactive sessions on the latest AI trends, such as GenAI, prompt engineering, LLMs, and more
✅ 3 capstones and 25+ hands-on projects from various industry domains
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
Skills Covered
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Model Building and Finetuning
✅ Supervised and Unsupervised Learning
✅ Ensemble Learning
✅ Deep Learning
✅ Data Visualization
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Explainable AI
✅ Machine Learning Algorithms
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Speech Recognition
Learning Path
✅ Program Induction
✅ Programming Refresher
✅ Data Management using SQL
✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning Specialization
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🔥Purdue - Post Graduate Program in AI and Machine Learning - https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=JT4uOOze0hU&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITK - Professional Certificate Course in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=JT4uOOze0hU&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITG - Professional Certificate Program in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=JT4uOOze0hU&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Caltech - AI & Machine Learning Bootcamp (US Only) - https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=JT4uOOze0hU&utm_medium=DescriptionFirstFold&utm_source=Youtube
In this video, we dive into the exciting world of selling digital products online! We’ll start by explaining What Digital Products are and Why they’re a fantastic choice for generating income. Then, we’ll guide you on Where to sell your digital products to maximize your reach. You’ll also discover the Top 5 digital products that are currently in high demand. After that, we’ll show you How to create and sell your digital products step-by-step, making it easy for you to launch your own digital product business. Finally, we’ll wrap up with some essential tips to boost your sales and grow your business. Whether you’re just starting out or looking to refine your strategy, this video has everything you need to succeed.
00:00:04 - Introduction to Digital Products to sell online
00:02:05 - What are Digital Products?
00:02:53 - Why Sell Digital Products?
00:04:27 - Where to Sell Digital Products ?
00:05:09 - Generating Guides
00:05:56 - Logo Design
00:06:30 - Business Cards
00:06:56 - Resume Templates
00:07:36 - Product Mockups
00:08:12 - How to Create and Sell Digital Products?
00:10:27 - Tips to Sell Digital Products Online?
✅What is the best selling Digital Product?
Basically, there is no particular answer to this as there are various digital products doing great in the market like online courses, ebooks,digital templates and tool,product photography etc.
✅Is selling digital products a good idea?
Yes it is a great idea . It ensures you passive income with minimum investment and a lot use of future technologies.
✅ Is digital marketing a risky career?
Not at all. Among all the careers in the market, digital marketing is booming and has a secured future. It is recession free and one can touch the pinaccle of success in the field.
✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
⏩ Check out More AI Videos By Simplilearn: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULyr_
#digitalmarketing #aimarketing #aimarketingtools #aimarketingtodayupdate #simplilearn #2024
➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…
👉 Enroll Now: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=JT4uOOze0hU&utm_medium=Description&utm_source=youtube